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Advanced efficient energy management strategy based on state machine control for multi-sources PV-PEMFC-batteries
Badreddine Kanouni1, Abd Essalam Badoud2, Saad Mekhilef3
1Automatic Laboratory of Setif, Electrical Engineering Department, University of Setif 1, Setif, Algeria.
This study introduces a new energy management strategy for multi-source renewable systems, improving overall efficiency and battery lifespan. The system effectively meets power demands, ensuring reliable energy supply under varying conditions.
Area of Science:
- Renewable Energy Systems
- Power Electronics
- Control Systems Engineering
Background:
- Meeting fluctuating energy demands with renewable sources like photovoltaics (PV) and proton exchange membrane fuel cells (PEMFC) presents challenges in maintaining system stability and component longevity.
- Existing energy management strategies (EMS) often struggle to optimize the interplay between PV, PEMFC, and battery storage, impacting overall system efficiency and reliability.
Purpose of the Study:
- To develop and evaluate a novel energy management strategy (EMS) for a multi-source renewable system (MSRS) integrating PV, PEMFC, and batteries.
- To ensure stable DC link voltage, extend battery lifespan, and meet dynamic power demands efficiently.
- To enhance the overall system efficiency and reliability through optimized control and power management.
Main Methods:
- Implementation of a fuzzy logic Maximum Power Point Tracking (MPPT) for optimal PV operation under diverse irradiation levels.
- Design of a 15-step state machine control (SMC) prioritizing PEMFC for battery charging when surplus power is available and State of Charge (SOC) is low.
- Coordination of control and power management for seamless operation of the MSRS.
Main Results:
- The proposed SMC achieved an average improvement of 2.3% in overall system efficiency compared to conventional methods.
- Maximum system efficiency of 97.2% was recorded under high load conditions with SOC exceeding SOCmax.
- The MSRS demonstrated sustained power supply, maintaining an average of 96.5% over 7.5 seconds.
Conclusions:
- The developed state machine control (SMC) effectively manages energy resources in a multi-source renewable system (MSRS).
- The proposed EMS enhances system efficiency, reliability, and battery lifespan.
- Simulation results using MATLAB/Simulink validate the effectiveness of the control and management techniques.
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